2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
ACL 2024findings
Supervised finetuning (SFT) on instruction datasets has played a crucial role in achieving the remarkable zero-shot generalization capabilities observed in modern large language models (LLMs). However, the annotation efforts required to produce high quality responses for instructions are becoming pr…